Dana Garbarski

59 total papers · 699 total citations
37 papers, 469 citations indexed

About

Dana Garbarski is a scholar working on Sociology and Political Science, Health and General Health Professions. According to data from OpenAlex, Dana Garbarski has authored 37 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Sociology and Political Science, 14 papers in Health and 12 papers in General Health Professions. Recurrent topics in Dana Garbarski's work include Health disparities and outcomes (13 papers), Survey Methodology and Nonresponse (12 papers) and Behavioral Health and Interventions (5 papers). Dana Garbarski is often cited by papers focused on Health disparities and outcomes (13 papers), Survey Methodology and Nonresponse (12 papers) and Behavioral Health and Interventions (5 papers). Dana Garbarski collaborates with scholars based in United States, Denmark and Germany. Dana Garbarski's co-authors include Jennifer Dykema, Nora Cate Schaeffer, Rachel Cusatis, Whitney P. Witt, Dorothy Farrar Edwards, Douglas W. Maynard, Jeremy Freese, Adam Schiff, Karen Wu and Ian F. Wall and has published in prestigious journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and International Journal of Environmental Research and Public Health.

In The Last Decade

Dana Garbarski

35 papers receiving 448 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dana Garbarski	165	157	156	82	80	37	469
Pramote Prasartkul	142 0.9×	140 0.9×	103 0.7×	50 0.6×	74 0.9×	29	456
P. Johnelle Sparks	157 1.0×	109 0.7×	139 0.9×	69 0.8×	94 1.2×	27	541
Lisa Calderwood	89 0.5×	141 0.9×	127 0.8×	37 0.5×	94 1.2×	42	462
Peter Korp	170 1.0×	122 0.8×	58 0.4×	57 0.7×	70 0.9×	21	412
Lidyane do Valle Camelo	192 1.2×	84 0.5×	148 0.9×	82 1.0×	117 1.5×	35	500
Maggie Lau	105 0.6×	148 0.9×	115 0.7×	120 1.5×	35 0.4×	34	429
Nicholas Kofi Adjei	236 1.4×	109 0.7×	123 0.8×	32 0.4×	111 1.4×	50	546
Karen R. Grant	178 1.1×	89 0.6×	81 0.5×	36 0.4×	83 1.0×	18	426
Daisy Le	125 0.8×	108 0.7×	159 1.0×	47 0.6×	95 1.2×	42	508
Alexandra C. H. Nowakowski	89 0.5×	119 0.8×	77 0.5×	118 1.4×	55 0.7×	49	413

Countries citing papers authored by Dana Garbarski

Since Specialization

Citations

This map shows the geographic impact of Dana Garbarski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dana Garbarski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Garbarski more than expected).

Fields of papers citing papers by Dana Garbarski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Garbarski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dana Garbarski. The network helps show where Dana Garbarski may publish in the future.

Co-authorship network of co-authors of Dana Garbarski

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Garbarski. A scholar is included among the top collaborators of Dana Garbarski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dana Garbarski. Dana Garbarski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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